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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Tableau Data Analyst |
| Exam Number: | Analytics-DA-201 |
| Certificate Validity Period: | 2 years |
| Passing Score: | 65% |
| Exam Duration: | 105 minutes |
| Available Languages: | Simplified Chinese, Japanese, Korean, English |
| Real Exam Qty: | 170-175 |
| Exam Price: | US$200 |
| Exam Format: | Hotspot, Drag-and-drop, Scenario-based, Multiple choice |
| Recommended Training: | Trailhead: Tableau Data Analyst Certification Prep |
| Exam Registration: | Salesforce Certification Registration |
| Sample Questions: | Salesforce Analytics-DA-201 Sample Questions |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | No prerequisites required |
| Official Syllabus URL: | https://help.salesforce.com/s/articleView?id=005298984&type=1 |
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NEW QUESTION # 40
You have the following visualization.
The Last() calculation is set to compute using Table (across)
Which value will appear in the crosstab for the Consumer segment of the year 2018 if you change compute to use Oder Dale?
Answer: C
Explanation:
The LAST() function in Tableau returns the number of rows from the current row to the last row in the partition. When you compute using ' Order Date ' , it will change the partitioning of the calculation. If ' Consumer ' in ' 2018 ' is the last row in its partition when computed by ' Order Date ' , then LAST() will return
0 for that cell.
The LAST() function in Tableau is a table calculation that returns the number of rows from the current row to the last row in the partition. The value of LAST() is 0 for the last row, increases by 1 for each row above the last row, and can be negative for rows below the current row if there are such rows in the partition.
In the provided visualization, LAST() is set to compute using Table (across). Changing the compute mode to use " Order Date " will adjust the partitioning of the data upon which the LAST() function is calculated. Since
" Order Date " is likely to be a unique value per row (assuming each order has a unique date), each row becomes its own partition.
For the Consumer segment of the year 2018, if " Order Date " is unique for each row, then the last row in each partition (in this case, each individual row) will have a LAST() value of 0 because there are no other rows in the partition - it ' s the last row of its own partition.
Therefore, when you change the compute mode of LAST() to use " Order Date " , each cell under the Consumer segment for the year 2018 will have the LAST() value of 0, because each order date creates a partition of one, making every row the last in its partition.
NEW QUESTION # 41
You have the following dataset that contain null values in the Profits field.
You want the data to appear as shown in the following table.
Which two formulas achieve the goal? Choose two.
Answer: A,C
Explanation:
Both the ZN and IFNULL functions in Tableau can be used to replace NULL values with zeros. The ZN function converts NULL to zero directly, while the IFNULL function allows you to specify that NULL should be replaced with zero. Both will result in showing zero for any NULL values in the Profits field.
References: https://help.tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#IFNULL
https://help.tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#IF https://help.tableau.
com/current/pro/desktop/en-us/functions_functions_logical.htm#ZN https://help.tableau.com/current/pro
/desktop/en-us/functions_functions_logical.htm#ISNULL
NEW QUESTION # 42
You have a dataset that contains people and the awards they have won.
Which formula should you use to get the number of different types of awards that have been won?
Answer: D
Explanation:
To get the number of different types of awards that have been won, you should use the formula COUNTD ({Award}). This formula will return the count of distinct values in the Award field, which are the different types of awards that have been won.
The other options are not correct for this scenario. COVAR({Award}) is not a valid function in Tableau. MAX ({Award}) will return the maximum value in the Award field, which may not be a type of award. INDEX() will return the index or rank of each row in a partition, which is not related to the types of awards. References:
https://help.tableau.com/current/pro/desktop/en-us/functions_functions_aggregate.htm#COUNTD https://help.
tableau.com/current/pro/desktop/en-us/functions_functions_tablecalculation.htm#INDEX The COUNTD function in Tableau calculates the number of distinct (unique) items in a field. When looking to get the number of different types of awards that have been won, the COUNTD([Award]) function will count each unique award name only once, regardless of how many times it appears in the dataset. This will return the total number of unique award types.
NEW QUESTION # 43
You have a dataset that contains sates data. The following is a sample of the data.
You need to return a value of true if a month has sales greater than $50 000. otherwise the formula must return a value of false.
Which two formulas achieve the goal Choose two
Answer: B,D
Explanation:
The two formulas that will return a value of true if a month has sales greater than $50,000, otherwise the formula must return a value of false, are:
B). IIF(SUM([Sales]) > 50000, TRUE, FALSE) D. [Sales] > 50000
The IIF function is a logical function that returns one value if a condition is true, and another value if the condition is false. In this case, the condition is SUM([Sales]) > 50000, which means that the sum of sales for a month is greater than $50,000. The function will return TRUE if the condition is true, and FALSE if the condition is false.
The comparison operator > is a logical operator that returns TRUE if the left operand is greater than the right operand, and FALSE otherwise. In this case, the operands are [Sales] and 50000, which means that the sales for a month are greater than $50,000. The operator will return TRUE if the sales are greater than $50,000, and FALSE otherwise.
The other options are not correct for this scenario. The IN function is a logical function that returns TRUE if a value is in a set of values, and FALSE otherwise. In this case, the value is SUM([Sales]), which is not in the set of values (50000). The function will always return FALSE. The MAX function is an aggregation function that returns the maximum value in a field or expression. In this case, the field or expression is [Sales], 50000, which is not valid syntax. The function will return an error. References: https://help.tableau.com/current/pro
/desktop/en-us/functions_functions_logical.htm#IIF https://help.tableau.com/current/pro/desktop/en-us
/operators.htm https://help.tableau.com/current/pro/desktop/en-us/functions_functions_aggregate.htm#MAX
NEW QUESTION # 44
You are developing a data source in Tableau Prep.
You have two tables named Orders and Employees.
The Orders table was created in 2019 and contains the following columns.
The Employees table contains all the employee information for the various sales teams in the sales department and contains the following columns
You want to prepare the data so that you can analyze sales trends over time for every sales team.
Which three actions should you perform in order? (Place the three correct options in order. Use the arrows to move Options to Answer Area. Use Answer Area arrows to re-order the options.)
Answer:
Explanation:
Explanation:
There are different ways to prepare the data in Tableau Prep, but one possible answer is:
Answer area:
* Join the tables.
* Aggregate the data by Sales Team.
* Add the following filter to the Employees table: Sale Team - Team Alpha.
To analyze sales trends over time for every sales team, you need to combine the data from the Orders and Employees tables. You can do this by joining the tables on the Rep ID column, which is a common identifier for both tables. This will create a single table with all the columns from both tables. Next, you need to aggregate the data by Sales Team, which is the level of analysis you want. You can do this by grouping the data by the Sales Team column and applying an aggregation function (such as sum, average, count, etc.) to the other columns that you want to measure (such as Total Amount, Rep Tenure, etc.). This will create a summary table with one row for each sales team and the aggregated values for the other columns. Finally, you need to filter the data to focus on a specific sales team, such as Team Alpha. You can do this by adding a filter to the Employees table and selecting only the rows where Sales Team equals Team Alpha. This will remove the rows for other sales teams and keep only the data for Team Alpha.
References:
[Tableau Certified Data Analyst Exam Prep Guide], page 9, section "Preparing Data"
[Tableau Help: Join Your Data]
[Tableau Help: Aggregate Your Data]
[Tableau Help: Filter Your Data]
NEW QUESTION # 45
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